Ontology highlight
ABSTRACT:
PROVIDER: PRJNA754320 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:To investigate the mechanism by which the microalgae-yeast co-culture system promotes wastewater denitrification. We concluded that microalgae and yeast exhibit a mutually beneficial relationship in the co-culture system. Microalgae nitrogen metabolism can be influenced by both miRNA and mRNA, and the presence of yeast stimulates gene expression in microalgae.
2023-07-12 | GSE231399 | GEO
Project description:Microalgae-bacteria system for domestic wastewater treatment
| PRJNA807808 | ENA
Project description:We conducted a culture experiment by deeply submerging plants in swine wastewater in culturing Iris tectorum and co-culturing Iris tectorum and Dictyosphaerium sp., and found that the plants grew sub-normal in the plant-microalgae co-culture while the plants were dead after 21 days in the plant culture. We generated a comprehensive RNA-seq dataset from the submerged Iris tectorum leaves in both the plant culture and the plant-microalgae co-culture, aiming at providing information on the response mechanisms of the plants to waterlogging stress. Besides raw reads of the RNA-seq dataset, we used DEseq2 algorithms to detect the differently expressed genes in the plants between the different cultures. Additionally, we performed the plant disease resistance gene analysis for all the differentially expressed genes.
2018-11-03 | GSE122095 | GEO
Project description:The aim of this study was to identify differently expressed genes between all runs of four serial repitchings from a German brewery. In the brewery the number of successive runs varied from 17 to 20. A run describes the industrial fermentation of brewery wort. By the end of fermentation the yeast slurry is cropped. These cells are reused for inoculation of another cylindro-conical vessel (CCVs).
2013-10-02 | GSE45947 | GEO
Project description:The aim of this study was to identify differently expressed genes between all runs of four serial repitchings from a German brewery. In the brewery the number of successive runs varied from 17 to 20. A run describes the industrial fermentation of brewery wort. By the end of fermentation the yeast slurry is cropped. These cells are reused for inoculation of another cylindro-conical vessel (CCVs).
2013-10-02 | GSE45946 | GEO
Project description:The aim of this study was to identify differently expressed genes between all runs of four serial repitchings from a German brewery. In the brewery the number of successive runs varied from 17 to 20. A run describes the industrial fermentation of brewery wort. By the end of fermentation the yeast slurry is cropped. These cells are reused for inoculation of another cylindro-conical vessel (CCVs).
2013-10-02 | GSE45944 | GEO
Project description:The aim of this study was to identify differently expressed genes between all runs of four serial repitchings from a German brewery. In the brewery the number of successive runs varied from 17 to 20. A run describes the industrial fermentation of brewery wort. By the end of fermentation the yeast slurry is cropped. These cells are reused for inoculation of another cylindro-conical vessel (CCVs).
2013-10-02 | GSE45943 | GEO
Project description:Bio-augmentation could be a promising strategy to improve processes for treatment and resource recovery from wastewater. In this study, the Gram-positive bacterium Bacillus subtilis was co-cultured with the microbial communities present in wastewater samples with high concentrations of nitrate or ammonium. Glucose supplementation (1%) was used to boost biomass growth in all wastewater samples. In anaerobic conditions, the indigenous microbial community bio-augmented with B. subtilis was able to rapidly remove nitrate from wastewater. In these conditions, B. subtilis overexpressed nitrogen assimilatory and respiratory genes including NasD, NasE, NarG, NarH, and NarI, which arguably accounted for the observed boost in denitrification. Next, we attempted to use the the ammonium- and nitrate-enriched wastewater samples bio-augmented with B. subtilis in the cathodic compartment of bioelectrochemical systems (BES) operated in anaerobic condition. B. subtilis only had low relative abundance in the microbial community, but bio-augmentation promoted the growth of Clostridium butyricum and C. beijerinckii, which became the dominant species. Both bio-augmentation with B. subtilis and electrical current from the cathode in the BES promoted butyrate production during fermentation of glucose. A concentration of 3.4 g/L butyrate was reached with a combination of cathodic current and bio-augmentation in ammonium-enriched wastewater. With nitrate-enriched wastewater, the BES effectively removed nitrate reaching 3.2 mg/L after 48 h. In addition, 3.9 g/L butyrate was produced. We propose that bio-augmentation of wastewater with B. subtilis in combination with bioelectrochemical processes could both boost denitrification in nitrate-containing wastewater and enable commercial production of butyrate from carbohydrate- containing wastewater, e.g. dairy industry discharges. These results suggest that B. subtilis bio-augmentation in our BES promotes simultaneous wastewater treatment and butyrate production.
2020-05-15 | GSE150480 | GEO
Project description:Characterization of microbial communities at the genomic, transcriptomic, proteomic and metabolomic levels, with a special interest on lipid accumulating bacterial populations, which are naturally enriched in biological wastewater treatment systems and may be harnessed for the conversion of mixed lipid substrates (wastewater) into biodiesel. The project aims to elucidate the genetic blueprints and the functional relevance of specific populations within the community. It focuses on within-population genetic and functional heterogeneity, trying to understand how fine-scale variations contribute to differing lipid accumulating phenotypes. Insights from this project will contribute to the understanding the functioning of microbial ecosystems, and improve optimization and modeling strategies for current and future biological wastewater treatment processes. This project contains datasets derived from the same biological wastewater treatment plant. The data includes metagenomes, metatranscriptomes, metaproteomes and organisms isolated in pure cultures. Characterization of microbial communities at the genomic, transcriptomic, proteomic and metabolomic levels, with a special interest on lipid accumulating bacterial populations, which are naturally enriched in biological wastewater treatment systems and may be harnessed for the conversion of mixed lipid substrates (wastewater) into biodiesel. The project aims to elucidate the genetic blueprints and the functional relevance of specific populations within the community. It focuses on within-population genetic and functional heterogeneity, trying to understand how fine-scale variations contribute to differing lipid accumulating phenotypes. Insights from this project will contribute to the understanding the functioning of microbial ecosystems, and improve optimization and modeling strategies for current and future biological wastewater treatment processes. This project contains datasets derived from the same biological wastewater treatment plant. The data includes metagenomes, metatranscriptomes, metaproteomes and organisms isolated in pure cultures.
2020-08-19 | PXD013655 | Pride